Nowadays, decision making using fuzzy logic is a major research area for scientists, researchers and project managers. Construction of membership functions and fuzzy rules from numerical data is very important in various applications of the fuzzy set theory. Therefore, in this paper a model is proposed for development of membership functions and fuzzy rules from numerical data for decision maki...

Business coordination is a very active research area, in which the decision-making process of an enterprise is non-trivial. In this paper, we focus on coordination process that involves a third party or mediator, which we call Mediated Business Coordination (MBC). We argue that business rules play an important role in the decision processes involved in MBC. We describe the decision processes in...

In the light of universality of uncertainty, we propose a decision making model in completed information system. Considering the attribute reduction, attribute importance and mismatched information, a multiple attribute decision making model based on importance of attribute is constructed. First of all, decision table is obtained by the knowledge known and deleting reduced attributes. Also, att...

Decision models and knowledge rules are widely used to assist in decision-making. They are common decision support devices that should be effectively managed in decision support systems. Research and development (R&D) project selection is a complicated and knowledge intensive decision-making process where decision models and knowledge rules play an important role. This paper presents a hybrid k...

Making the right decisions in time is one of the key tasks in every business. In this context, decision theory fosters decision-making based on well-defined decision rules. The latter evaluate a given set of input parameters and utilize evidenced data in order to determine an optimal alternative out of a given set of choices. In particular, decision rules are relevant in the context business pr...

Motivation for arranging business rules is not confined to efficient processing of rules, as in case of traditional rule bases, but to aid in decision making as well. Efficient processing and ease of decision making, therefore, are the twin objectives behind arranging and grouping of business rules as envisaged by business rules approach to system development. This paper strives to make a begin...

Consider a decision maker who faces a number of possible models of the world. Every model generates objective probabilities, but no probabilities of models are given. This is the classic setting of statistical decision theory; recent and less standard applications include decision making with model uncertainty, e.g. due to concerns for misspecification, treatment choice with partial identificat...

© 2000 Canadian Medical Association or its licensors Clinical decision (or prediction) rules attempt to reduce the uncertainty of medical decision-making by standardizing the collection and interpretation of clinical data. A decision rule is derived from original research and may be defined as a decision-making tool that incorporates 3 or more variables from the history, physical examination or...

A decision making approach which combines multi-attribute decision making techniques with expert systems is described in the paper. In this approach, knowledge about a particular decision making problem is represented in the form of tree-structured criteria and decision rules. Decision making is supported by an expert system shell. In the paper, the discussion is mainly concentrated on the part...

integrated urban management means adopting a holistic approach to urban management and designing appropriate mechanisms for this approach’s requirements in practice. the integration of the urban activities brings together organizational , structural and institutional activities and action in which the urban development is supported. in order to achieve integration, it is essential to identify f...